Custom Signal v1 - Ivan - Strict One Arrowtrend following indicator, do buy or sell with m15 chart on xau/usd
Indicators and strategies
Candle Pattern Detector By Prashanth
Bullish Signal (🟢 below candle):
Plotted when any of the following occur:
✅ Bullish Engulfing
✅ Bullish Three-Line Strike
✅ Bottom wick ≥ % threshold (default: 80%)
Bearish Signal (🔴 above candle):
Plotted when any of the following occur:
❌ Bearish Engulfing
❌ Bearish Three-Line Strike
❌ Top wick ≥ % threshold (default: 80%)
Only one signal per candle (🟢 or 🔴)
If both bullish and bearish conditions happen on same candle → no signal
Helps simplify visual clutter while scanning for strong candle patterns
RAHA Strategy - Short
Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach.
What is RAHA?
This is an adjusted hybrid average that gives different weight to outliers:
The extreme values (particularly high or low) receive a lower weight.
The calculation is based on the standard deviation and average of the data.
This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion.
The RAHA Short Strategy identifies a negative trend and enters when clear technical conditions are met, such as a downward slope of RAHA 40, RAHA 10 crossing below RAHA 20, and the absence of a sequence of 3 red candles.
Entry is also made in the exceptional case of a red candle above the Bollinger Band.
The position size is determined by 1% of the capital divided by the stop.
The exit is carried out by a stop above the high, or under additional conditions below the profit target (TP).
אסטרטגיית השורט RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של:
Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח.
מהו RAHA?
מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים:
הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר.
החישוב מבוסס על סטיית התקן והממוצע של הנתונים.
כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה.
אסטרטגיית השורט RAHA מזהה מגמה שלילית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע יורד של RAHA 40, חציית RAHA 10 מתחת ל‑RAHA 20, והיעדר רצף של 3 נרות אדומים.
הכניסה מבוצעת גם במקרה חריג של נר אדום מעל רצועת בולינגר.
גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ.
היציאה מבוצעת לפי סטופ מעל הגבוה, או בתנאים נוספים מתחת ליעד הרווח (TP).
EMA Trend Dashboard
Trend Indicator using 3 custom EMA lines. Displays a table with 5 rows(position configurable)
-First line shows relative position of EMA lines to each other and outputs Bull, Weak Bull, Flat, Weak Bear, or Bear. EMA line1 should be less than EMA line2 and EMA line 2 should be less than EMA line3. Default is 9,21,50.
-Second through fourth line shows the slant of each EMA line. Up, Down, or Flat. Threshold for what is considered a slant is configurable. Also added a "steep" threshold configuration for steep slants.
-Fifth line shows exhaustion and is a simple, configurable calculation of the distance between EMA line1 and EMA line2.
--Lines one and five change depending on its value but ALL other colors are able to be changed.
--Default is somewhat set to work well with Micro E-mini Futures but this indicator can be changed to work on anything. I created it to help get a quick overview of short-term trend on futures. I used ChatGPT to help but I am still not sure if it actually took longer because of it.
BTC Correlation CoefficientThe BTCUSDT Correlation Coefficient indicator measures the strength and direction of the relationship between the selected asset (e.g., a stock or altcoin) and the price of BTCUSDT over a chosen time period. It uses a custom correlation function to calculate how closely the asset's price movements align with Bitcoin, returning a value between -1 and +1. A coefficient near +1 indicates strong positive correlation, while values near -1 indicate inverse correlation. This helps traders assess whether the asset tends to follow Bitcoin’s price trends or behave independently, enabling more informed decisions on portfolio diversification and market sentiment alignment.
NFP RangesThis simple indicator will mark the high and low prices during NFP days. You an choose how many NFP days you want to go back and a gradient to use for the levels.
The NFP dates are hard coded from 2023 through 2029. If this script survives past 2029, it should be simple to add more dates.
Williams %RHuge T's William's Percent Range
5 and 10 length graph overlay
-4 represents overbought conditions
-94 represents oversold conditions
EMA 9/21 Crossover Indicator w/ Shading9 and 21 ema cross over with buy and sell signals. No close signal so you will need to trail your stop manually
First 15 Min High/Low//@version=5
indicator("First 15 Min High/Low", overlay=true)
// Define the session start time (adjust according to your market)
startHour = 9
startMinute = 30
endMinute = startMinute + 15
// Track the first 15 minutes of the day
isFirst15 = (hour == startHour and minute >= startMinute and minute < endMinute)
// New day logic
newDay = ta.change(time("D"))
// Hold values
var float first15High = na
var float first15Low = na
var bool isLocked = false
// Capture high/low during first 15 min
if newDay
first15High := na
first15Low := na
isLocked := false
if isFirst15 and not isLocked
first15High := na(first15High) ? high : math.max(high, first15High)
first15Low := na(first15Low) ? low : math.min(low, first15Low)
if not isFirst15 and not isLocked and not na(first15High) and not na(first15Low)
isLocked := true
// Plot
plot(isLocked ? first15High : na, title="First 15 Min High", color=color.green, linewidth=2, style=plot.style_line)
plot(isLocked ? first15Low : na, title="First 15 Min Low", color=color.red, linewidth=2, style=plot.style_line)
Info TablesThis indicator provides two clear tables showing key market metrics, helping you make sense of price action. Each metric is chosen to give you practical insights, and you can customize the display to fit your needs.
## Key Features and Why Metrics Matter
### Main Table Metrics
- **ML-Predicted Price**:
- **What**: A price forecast based on a machine learning model using past price, volume, and RSI data.
- **Why**: Shows where the market might head, helping you gauge if the current price is too high or low compared to the prediction. Useful for spotting potential reversals or continuations.
- **Deviation %**:
- **What**: The percentage difference between the current price and the predicted price.
- **Why**: Tells you how far the market is straying from the ML forecast. A large deviation might suggest overbought/oversold conditions or a trend shift.
- **VWAP Deviation %**:
- **What**: The percentage difference between the current price and the Volume Weighted Average Price (VWAP).
- **Why**: VWAP is a benchmark for fair price; deviation shows if the market is stretched above or below this level, aiding entries or exits.
- **FRED UNRATE % Change**:
- **What**: The percentage change in the U.S. unemployment rate from FRED data.
- **Why**: Offers macro context. Rising unemployment can signal economic weakness, impacting market sentiment, while falling rates may boost confidence.
- **Open Interest**:
- **What**: The total number of open futures contracts for MESM2.
- **Why**: High open interest indicates strong market participation, often tied to liquidity and conviction. Low levels might suggest indecision or lack of commitment.
- **COT Commercial Long/Short**:
- **What**: Commitment of Traders (COT) data showing commercial traders’ long and short positions.
- **Why**: Reveals how big players (hedgers) are positioned. More longs than shorts can hint at bullish sentiment, while more shorts suggest bearish views.
### New Metrics Table
- **QQE Bias**:
- **What**: A momentum indicator based on a smoothed RSI with trailing stops.
- **Why**: Highlights bullish (green) or bearish (red) momentum, helping you confirm short-term trade directions or avoid choppy markets (gray).
- **Volume Momentum**:
- **What**: A score (1–20) comparing current volume to past volume over a lookback period.
- **Why**: High scores indicate strong buying/selling pressure, signaling potential breakouts or reversals. Low scores suggest weak participation.
- **ATR Volatility**:
- **What**: A score (1–20) based on the Average True Range, measuring price volatility.
- **Why**: High volatility warns of larger price swings, useful for setting stop-losses or avoiding trades in choppy conditions. Low volatility may indicate consolidation.
- **ADX Trend**:
- **What**: The Average Directional Index, measuring trend strength.
- **Why**: High ADX values confirm strong trends, guiding you to trade with the trend. Low values suggest range-bound markets, better for mean-reversion strategies.
- **RSI**:
- **What**: Relative Strength Index, showing overbought (>70) or oversold (<30) conditions.
- **Why**: Helps identify potential reversal points or confirm momentum. Useful for timing entries in overextended markets.
- **Frahm Volatility**:
- **What**: A score (1–20) based on true range over a time window (e.g., 24 hours).
- **Why**: Measures short-term volatility, helping you adjust position sizes or avoid trading during erratic price moves.
- **Frahm Avg Candle (Ticks)**:
- **What**: The average candle size in ticks over the same time window.
- **Why**: Indicates typical price movement, useful for setting realistic profit targets or stop-losses based on recent market behavior.
### Additional Features
- **Plotted Predicted Price**:
- **What**: An optional line showing the ML-predicted price on the chart.
- **Why**: Lets you visually compare the predicted price to actual price action, making it easier to spot divergence or alignment.
- **Custom Gradient Colors**:
- **What**: User-defined colors for high/low values in both tables.
- **Why**: Makes it quick to see which metrics are at extremes (e.g., high deviation or strong ADX), improving decision-making under pressure.
- **Alerts**:
- **What**: Notifications for high/low Frahm volatility and bullish/bearish QQE Bias.
- **Why**: Keeps you informed of critical changes (e.g., volatility spikes or momentum shifts) without needing to watch the chart constantly.
## Customization Options
- **ML Matrix Inputs**:
- Adjust the **ML Lookback Period** (e.g., 200–300 for volatile markets, 1000 for trends) to control how much history the ML model uses.
- Set the **ML RSI Period** (e.g., 7–10 for fast markets, 20 for calm) to tweak the RSI’s sensitivity in the prediction.
- **Plot Settings**:
- Toggle the predicted price line and choose its color (default blue) for clear visibility.
- **Table Settings**:
- Position tables (top/bottom, left/center/right) and show/hide them to focus on what matters.
- **Gradient Color Settings**:
- Pick colors for high/low values in each table to match your chart or preferences.
- **Timeframe & Thresholds**:
- Set specific timeframes (e.g., 5-minute for smoother data) and thresholds (e.g., tighter deviation ranges) for each metric to suit your trading style.
## Ideal Use Case
This indicator is perfect for MESM2 traders navigating fast-moving markets. The Main Table gives you a big-picture view (predicted price, macro data, and positioning), while the New Metrics Table zooms in on momentum and volatility, ideal for scalping or trend trades. Use it to confirm entries, set stops, or avoid choppy periods.
## Why It’s Valuable
The **ML Matrix - Tables Only** puts essential data at your fingertips. Each metric is selected to answer a specific question—Is the price overextended? Is momentum building? Are big players bullish? Are conditions too volatile?—helping you trade with clarity and confidence, whether you’re catching quick moves or riding longer trends.
Turtle Trading Strategy (Simplified)This TradingView script is a powerful implementation of the classic Turtle Trading strategy, designed to help traders capitalize on significant market trends. Built using Pine Script, it can function as an indicator to highlight the specific entry and exit signals derived from the Turtle rules, or as a fully automated strategy to execute trades based on these signals. Users can fine-tune critical parameters like the lookback periods for breakouts and exits, enabling them to adapt the strategy to different market conditions and asset classes. The script leverages Pine Script's robust capabilities to accurately calculate and display the Turtle System's core logic, including position sizing based on volatility (ATR), providing a clear and systematic approach to trend-following directly on their TradingView charts.
KosATRWhat this Pine Script does:
✅ This indicator displays daily ATR (Average True Range) information on any chart timeframe (minutes, hours, etc.), ensuring the calculations are based strictly on daily price data.
Displayed Information in the Table:
The script creates a table in the bottom-left corner of the chart that shows:
ATR — A custom, filtered version of the daily ATR that excludes abnormal price bars (extremely large or small daily ranges).
% — The percentage of the ATR that today's price movement (Open to Close) has covered so far.
Level — A manually defined fixed level, set through the script's input.
Level + ATR — The sum of the daily ATR and your defined level, useful for setting price targets or alerts.
Key Features:
Uses request.security() to ensure all calculations (high, low, open, close) are taken from the daily timeframe, even when you're viewing lower or higher timeframes.
Implements a filtering method to calculate an "adaptive ATR," ignoring price ranges that are too large or too small (outliers), making the ATR value more stable and realistic.
Displays a live, easy-to-read table directly on the chart for quick reference during trading.
Summary:
This script provides traders with reliable, daily-based ATR data, helping assess current price movement strength relative to historical daily volatility. It's especially useful for intraday traders who want constant awareness of daily ATR levels, regardless of their current chart timeframe.
Shavarie's Sniper LineShavarie’s Sniper Line is a precision confirmation tool built for high-quality entries — not noisy signals.
It activates only when all 3 conditions agree:
🔁 Momentum bend detection
💧 Money Flow Index (MFI) pressure
🔺 Delta volume strength (emulated from price/volume flow)
When all conditions align, the Sniper Line shifts to:
+1 for potential buy zone
-1 for potential sell zone
0 when neutral — no action
Best used in combination with supply/demand zones, Heikin Ashi, or larger trend structures. Built for traders who value patience, precision, and massive R:R setups.
Gabriel's MPT Moving Average RibbonGabriel's MPT Moving Average Ribbon is a cutting-edge, risk-adjusted technical analysis tool that fuses Modern Portfolio Theory (MPT) with adaptive moving average logic to dynamically guide market participants through bullish and bearish conditions.
This ribbon is not a simple MA crossover — it leverages Sharpe Ratio, Sortino Ratio, Omega Ratio, and Value at Risk (VaR) to scale and smooth each moving average using real-time probabilistic efficiency metrics. Combined, these elements create a volatility-weighted, risk-optimized visualization of market structure.
🔍 Core Features:
Multi-Ratio Adaptive Scaling: Moving averages are dynamically weighted by Omega Ratio, Sortino Stdev, Sharpe Winrate, and VaR conditions for smarter price tracking.
Volatility Engine: Supports multiple return models:
Close-to-Close
Parkinson
Garman-Klass
Rogers–Satchell
Yang–Zhang (default for highest accuracy)
Smart Ribbon Construction:
Blends 3 different MA types per ribbon (e.g., SMA, EMA, WMA) for each of the 4 ribbons
Supports WMA-style dynamic weighting using MPT-derived ratios
Sharpe Winrate Estimation: Uses CDF logic to project the probability of success given current Sharpe ratio.
Dynamic Risk Phase Detection (VaR):
Identifies Risk On, Risk Off, or Neutral states using a triple-model composite VaR framework.
🛎️ Alerts Included:
📈 Bullish Crossover Alert: MA #1 crossing above MA #2 with all ribbons aligned upward.
📉 Bearish Crossunder Alert: MA #1 crossing below MA #2 with all ribbons aligned downward.
📊 Omega Ratio Alert: Triggered when Omega exceeds 1 (profitable risk-adjusted reward).
⚠️ Omega Caution Alert: Triggered when Omega drops below 1.
🟢 Risk On Alert: Market enters a favorable, low-risk zone. Deep Value Zone for Long-Term Investing.
🔴 Risk Off Alert: Market enters a cautionary, high-risk phase.
🎯 Use Cases:
Trend Identification: MA ribbon alignment indicates momentum phases.
Risk-Tuned Entries/Exits: Combine ribbon crossovers with VaR/Ratio signals for confirmation.
Institutional Strategy Overlay: Ideal for portfolio managers integrating risk-adjusted technical overlays.
🧠 Pro Tips:
Use "Complete" mode for the most robust risk signal, as it blends Historical, EWMA, and Variance-Covariance ratios.
Customize each MA’s type and length to match your trading horizon (e.g., intraday, swing).
Toggle Ratios Weighted MA for adaptive weighting when market risk fluctuates.
It's set to the settings I use to trade, from MA settings to MPT table. It goes in order: Sharpe Est. Winrate, Deviation of Sortino, Omega Ratio (1 Year), and the Ideal position size according to VaR.
Dynamic Candle Strength Color + SL Zones (Clean)Shows Sl levels and candles that are larger than your SL
📊 Multi Bollinger Bands (4 sets)Made for people who want to use Multi Bollinger Bands.
By Charles SUNG.
All SMAs Bullish/Bearish Screener (Enhanced)All SMAs Bullish/Bearish Screener Enhanced: Uncover High-Conviction Trend Alignments with Confidence
Description:
Are you ready to elevate your trading from mere guesswork to precise, data-driven decisions? The "All SMAs Bullish/Bearish Screener Enhanced" is not just another indicator; it's a sophisticated, yet user-friendly, trend-following powerhouse designed to cut through market noise and pinpoint high-probability trading opportunities. Built on the foundational strength of comprehensive Moving Average confluence and fortified with critical confirmation signals from Momentum, Volume, and Relative Strength, this script empowers you to identify truly robust trends and manage your trades with unparalleled clarity.
The Power of Multi-Factor Confluence: Beyond Simple Averages
In the unpredictable world of financial markets, true strength or weakness is rarely an isolated event. It's the harmonious alignment of multiple technical factors that signals a high-conviction move. While our original "All SMAs Bullish/Bearish Screener" intelligently identified stocks where price was consistently above or below a full spectrum of Simple Moving Averages (5, 10, 20, 50, 100, 200), this Enhanced version takes it a crucial step further.
We've integrated a powerful three-pronged confirmation system to filter out weaker signals and highlight only the most compelling setups:
Momentum (Rate of Change - ROC): A strong trend isn't just about price direction; it's about the speed and intensity of that movement. Positive momentum confirms that buyers are still aggressively pushing price higher (for bullish signals), while negative momentum validates selling pressure (for bearish signals).
Volume: No trend is truly trustworthy without the backing of smart money. Above-average volume accompanying an "All SMAs" alignment signifies strong institutional participation and conviction behind the move. It separates genuine trend starts from speculative whims.
Relative Strength Index (RSI): This versatile oscillator ensures the trend isn't just "there," but that it's developing healthily. We use RSI to confirm a bullish bias (above 50) or a bearish bias (below 50), adding another layer of confidence to the direction.
When the price aligns above ALL six critical SMAs, and is simultaneously confirmed by robust positive momentum, healthy volume, and a bullish RSI bias, you have an exceptionally strong "STRONGLY BULLISH" signal. This confluence often precedes sustained upward moves, signaling prime accumulation phases. Conversely, a "STRONGLY BEARISH" signal, where price is below ALL SMAs with negative momentum, confirming volume, and a bearish RSI bias, indicates powerful distribution and potential for significant downside.
How to Use This Enhanced Screener:
Add to Chart: Go to TradingView's Pine Editor, paste the script, and click "Add to Chart."
Customize Parameters: Fine-tune the lengths of your SMAs, RSI, Momentum, and Volume averages via the indicator's settings. Experiment to find what best suits your trading style and the assets you trade.
Choose Your Timeframe Wisely:
Daily (1D) and 4-Hour (240 min) are highly recommended. These timeframes cut through intraday noise and provide more reliable, actionable signals for swing and position trading.
Shorter timeframes (e.g., 15min, 60min) can be used by advanced day traders for very short-term entries, but be aware of increased volatility and noise.
Visual Confirmation:
Green/Red Triangles: Appear on your chart, indicating confirmed bullish or bearish signals.
Background Color: The chart background will subtly turn lime green for "STRONGLY BULLISH" and red for "STRONGLY BEARISH" conditions.
On-Chart Status Table: A clear table displays the current signal status ("STRONGLY BULLISH/BEARISH," or "SMAs Mixed") for immediate feedback.
Set Up Alerts (Your Primary Screener Tool): This is the game-changer! Create custom alerts on TradingView based on the "Confirmed Bullish Trade" and "Confirmed Bearish Trade" conditions. Receive instant notifications (email, pop-up, mobile) for any stock in your watchlist that meets these stringent criteria. This allows you to scan the entire market effortlessly and act decisively.
Strategic Stop-Loss Placement: The Trader's Lifeline
Even the most robust signals can fail. Protecting your capital is paramount. For this trend-following strategy, your stop-loss should be placed where the underlying trend structure is broken.
For a "STRONGLY BULLISH" Trade: Place your stop-loss just below the most recent significant swing low (higher low). This is the last point where buyers stepped in to support the price. If price breaks below this, your bullish thesis is invalidated.
For a "STRONGLY BEARISH" Trade: Place your stop-loss just above the most recent significant swing high (lower high). If price breaks above this, your bearish thesis is invalidated.
Alternatively, consider placing your stop-loss just below the 20-period SMA (for bullish trades) or above the 20-period SMA (for bearish trades). A significant close beyond this intermediate-term average often indicates a critical shift in momentum. Always ensure your chosen stop-loss adheres to your pre-defined risk per trade (e.g., 1-2% of capital).
Disciplined Profit Booking: Maximizing Gains
Just as important as knowing when you're wrong is knowing when to take profits.
Trailing Stop-Loss: As your trade moves into profit, trail your stop-loss upwards (for longs) or downwards (for shorts). You can trail it using:
Previous Swing Lows/Highs: Move your stop to just below each new higher low (for longs) or just above each new lower high (for shorts).
A Moving Average (e.g., 10-period or 20-period SMA): If price closes below your chosen trailing SMA, exit. This allows you to ride the trend while protecting accumulated profits.
Target Levels: Identify potential resistance levels (for longs) or support levels (for shorts) using pivot points, previous highs/lows, or Fibonacci extensions. Consider taking partial profits at these levels and letting the rest run with a trailing stop.
Loss of Confluence: If the "STRONGLY BULLISH/BEARISH" condition ceases to be met (e.g., RSI crosses below 50, or volume drops significantly), this can be a signal to reduce or exit your position, even if your stop-loss hasn't been hit.
The "All SMAs Bullish/Bearish Screener Enhanced" is your comprehensive partner in navigating the markets. By combining robust trend identification with critical confirmation signals and disciplined risk management, you're equipped to make smarter, more confident trading decisions. Add it to your favorites and unlock a new level of precision in your trading journey!
#PineScript #TradingView #SMA #MovingAverage #TrendFollowing #StockScreener #TechnicalAnalysis #Bullish #Bearish #QQQ #Momentum #Volume #RSI #SPY #TradingStrategy #Enhanced #Signals #Analysis #DayTrading #SwingTrading
Weekly PO3 Market Structure ToolThis script is designed to assist traders in identifying the "Power of Three" (PO3) model on a weekly basis — as taught by ICT (Inner Circle Trader).
It automatically plots:
- The **Weekly Open**, a crucial reference level for detecting manipulation zones.
- **Weekly High and Low**, to frame liquidity zones and potential sweep areas.
- A customizable **Manipulation Zone**, calculated as a percentage range above and below the weekly open.
The PO3 model breaks market structure into:
1. Accumulation (early-week range)
2. Manipulation (false breakouts and liquidity grabs)
3. Distribution (true directional move)
This tool helps visualize those stages and align trades with smart money behavior.
Best used on 1H, 4H, or 15M timeframes for clarity.
Tip: Combine with FVGs, Order Blocks, and time-of-day filters for enhanced setups.
Modüler Trailing Stop (Doğru Ölçekli)
📌 Modular Trailing Stop – Advanced Risk Management for Long & Short Strategies
Modular Trailing Stop is a dual-direction stop management tool that calculates independent stop levels for long and short positions. It is fully scale-adjusted, strategy-agnostic, and optimized for TradingView integration.
🚀 Key Features
🔹 Dual-Side Stop Logic
Separate Ref High and Stop levels for long and short trades, allowing precise and directional control.
🔹 Modular Architecture
Designed to be easily integrated into any indicator or strategy. Operates independently from entry signals.
🔹 Accurate Price Scaling
Automatically adjusts to symbol tick size using syminfo.mintick, ensuring precision across all markets (BTCUSD, ETHUSD, USDTRY...).
🔹 Static Trailing Logic
Once a position is opened, stop levels are anchored to a fixed reference price and adjusted by ATR volatility.
🔹 User-Configurable
- Customizable ATR period and multiplier
- Manual reference high percentages for long and short
- Real-time table display on the chart with key values
⚙️ Calculation Formulas
- Ref High (Long) = Base Price × (1 + %Offset) × scaleFix
- Ref High (Short) = Base Price × (1 - %Offset) × scaleFix
- Step = ATR × Multiplier
- Long Stop = Ref High (Long) – Step
- Short Stop = Ref High (Short) + Step
📈 Use Cases
- Volatility-based static stop-loss framework
- Compatible with RSI, EMA crossover, breakout, and custom signal systems
- Backtesting via TradingView Strategy Tester (WinRate, Sharpe, AvgPnL...)
🧪 Example Backtest (BTCUSDT, 4H Timeframe)
- Win Rate: 41.9%
- Sharpe Ratio: 0.27
- Profit Factor: 1.31
- Avg Trade Duration: 18 bars
- Test Strategy: RSI-based entries + modular trailing stops
🧩 Strategy Integration (Sample)
strategy.exit("Long Exit", from_entry="Long", stop=longStop)
strategy.exit("Short Exit", from_entry="Short", stop=shortStop)
🏁 Summary
Modular Trailing Stop is a robust and intuitive stop-loss management tool. It can be used as a standalone module or combined with any strategy for improved position handling, effective drawdown control, and systematic risk management.
Whether you're building strategies or optimizing entries and exits, this tool brings precision and modular flexibility to your trading workflow.
BTC 4H Entrées/SortiesAnalysis: Input and output this script was created by ChatGPT. I allow myself to use this artificial intelligence, in order to find the most precise entry points and exit points possible in order to generate profits in complete transparency with you.